Coverart for item
The Resource Machine learning for health informatics : state-of-the-art and future challenges, Andreas Holzinger (ed.)

Machine learning for health informatics : state-of-the-art and future challenges, Andreas Holzinger (ed.)

Label
Machine learning for health informatics : state-of-the-art and future challenges
Title
Machine learning for health informatics
Title remainder
state-of-the-art and future challenges
Statement of responsibility
Andreas Holzinger (ed.)
Contributor
Editor
Subject
Language
eng
Summary
Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field
Member of
Cataloging source
DKDLA
Dewey number
006.312
Illustrations
illustrations
Index
no index present
LC call number
QA76.9.D343
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Holzinger, Andreas
Series statement
Lecture Notes in Computer Science,
Series volume
9605
http://library.link/vocab/subjectName
  • Medical informatics
  • Machine learning
  • Algorithms
  • Data mining
  • Image processing
  • Computer Science
  • Data Mining and Knowledge Discovery
  • Health Informatics
  • Algorithm Analysis and Problem Complexity
  • Image Processing and Computer Vision
Label
Machine learning for health informatics : state-of-the-art and future challenges, Andreas Holzinger (ed.)
Instantiates
Publication
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Machine Learning for Health Informatics -- Bagging Soft Decision Trees -- Grammars for Discrete Dynamics -- Empowering Bridging Term Discovery for Cross-domain Literature Mining in the TextFlows Platform -- Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice -- Deep learning trends for focal brain pathology segmentation in MRI -- Differentiation between Normal and Epileptic EEG using K-Nearest-Neighbors Technique -- Survey on Feature Extraction and Applications of Biosignals -- Argumentation for knowledge representation, conflict resolution, defeasible inference and its integration with machine learning -- Machine Learning and Data mining Methods for Managing Parkinson's Disease -- Challenges of Medical Text and Image Processing: Machine Learning Approaches -- Visual Intelligent Decision Support Systems in the medical field: design and evaluation
Extent
1 online resource (xxii, 480 pages)
Form of item
online
Isbn
9783319504780
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-50478-0
Other physical details
illustrations
Specific material designation
remote
System control number
ocn968302081
Label
Machine learning for health informatics : state-of-the-art and future challenges, Andreas Holzinger (ed.)
Publication
Copyright
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Machine Learning for Health Informatics -- Bagging Soft Decision Trees -- Grammars for Discrete Dynamics -- Empowering Bridging Term Discovery for Cross-domain Literature Mining in the TextFlows Platform -- Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice -- Deep learning trends for focal brain pathology segmentation in MRI -- Differentiation between Normal and Epileptic EEG using K-Nearest-Neighbors Technique -- Survey on Feature Extraction and Applications of Biosignals -- Argumentation for knowledge representation, conflict resolution, defeasible inference and its integration with machine learning -- Machine Learning and Data mining Methods for Managing Parkinson's Disease -- Challenges of Medical Text and Image Processing: Machine Learning Approaches -- Visual Intelligent Decision Support Systems in the medical field: design and evaluation
Extent
1 online resource (xxii, 480 pages)
Form of item
online
Isbn
9783319504780
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-50478-0
Other physical details
illustrations
Specific material designation
remote
System control number
ocn968302081

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